Statistical methods to assess and minimize the role of intra-individual variability in obscuring the relationship between dietary lipids and serum cholesterol

The research aims to show the role of industrial ecology in optimizing the value of mineral water industry organizations in the city of Dohuk through the adoption of a significant problem: What is the role of industrial ecology in optimizing the value of organizations? The researcher has adopted a primary hypothesis in studying the problem. The researcher also measured the reality of the problem and the validity of the hypothesis on the method of opinion questionnaire: a sample of organizations of mineral water industry consisting of 27 individuals using a questionnaire consisting of a set of questions related to the independent research variables (industrial ecology) and the approved variable (the value of the organization). The number of questions related to the independent variable was 10 questions, and 16 questions were related to the dependent variable. Then the researchers used some statistical methods in analyzing the questionnaire. The relationship and impact between industrial ecology and the value of the organization has been settled. The researchers have reached a significant conclusion that there is a positive correlation between the two research variables and that the industrial ecology affects the maximization of the value of mineral water industry organizations in the market of the city of Dohuk (0.114 once).

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The Influence of Motivation, Competency, and Work Environment to The Work Achievement The Officer of The Hasanuddin University

International Journal of Management Progress ◽

10.35326/ijmp.v1i1.410 ◽

2019 ◽

Vol 1 (1) ◽

pp. 33-42

Author(s):

Kustiany Kustiany

Keyword(s):

Human Resources ◽

Job Performance ◽

Work Environment ◽

Statistical Methods ◽

Dominant Factor ◽

Independent Variables ◽

Head Office ◽

The Relationship ◽

Correlation Level

The role of quality human resources is very important to direct and formulate policies needed by organizations/agencies. The purpose of this study was to determine the Effect of Motivation, Competence and Work Environment on Employee Job Performance at the Head Office of Hasanuddin University. The method in collecting data in this study is a questionnaire, observation (observation), interviews and documentation. The method of data analysis uses inferential statistical methods namely by using multiple linear regression statistical methods to measure the Effect of Motivation, Competence and Work Environment on Employee Job Performance at the Head Office of Hasanuddin University. Based on the F test the independent variables (motivation, competence and work environment) together have a positive and significant effect on the dependent variable (job performance). Through testing the correlation coefficient (R) obtained that the correlation level of the relationship between Motivation, Competence and Work Environment Against Employee Job Performance is a high relationship that is 67.2%, while the remaining 32.8% is influenced by other factors. And motivation is the most dominant factor affecting the Job Performance of Hasanuddin University Headquarters.

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Methods for the examination of the role of the time factor in managerial and organizational processes

Acta Agraria Debreceniensis ◽

10.34101/actaagrar/20/3152 ◽

2006 ◽

pp. 24-32

Author(s):

Éva Bácsné Bába

Keyword(s):

Statistical Methods ◽

Rank Correlation ◽

Preference Assessment ◽

Time Factor ◽

Agricultural Economics ◽

Ordinal Scale ◽

Managerial Efficiency ◽

The Given ◽

The Relationship

managerial efficiency. The system of investigations is in accordance with the method elaborated and applied by the Department of Management Science of UD, CAS, Faculty of Agricultural Economics and Rural Development (Berde, 2003). This method involves questionnaire interviews and corporate data collection. The first part of the questionnaire contains data with respect to the company, while the second part focuses on the manager being interviewed. The third part is a closed, directed interview-based preference assessment. I aim to assess the sample at my disposal in order to test the research model.In the course of the assessment of questionnaires, I apply descriptive statistical methods for the assessment of the personal and professional features of the managers interviewed and the characteristics of the companies. In the case of questions substantively concerning the time factor – resource, managerial function, reaction time, and impact assessments – I carry out hypothesis testing. I draw up a zero hypothesis, whose appropriateness I test by means of statistical methods. I usually apply rank correlation for the evaluation of the relationship between the variables measured on an ordinal scale in my investigations. This can be applied if not the exact values of the given variables, but only their order in one respect or another is known. If the group building criterion is two-variable Mann-Whimey, if a multi-variable Kruskal-Wallis trial can be applied, which, after the rank transformation, gives information about the acceptance or refusal of the Ho hypothesis through the average of the ranks. The model also contains the managers’ evaluation of the time factor in management work.

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Understanding the relationship between the economy and crime: Canadian provinces, 1981-2009

International Journal of Social Economics ◽

10.1108/ijse-12-2015-0328 ◽

2017 ◽

Vol 44 (9) ◽

pp. 1268-1288 ◽

Cited By ~ 2

Author(s):

Joao Tovar Jalles ◽

Martin A. Andresen

Keyword(s):

Sensitivity Analysis ◽

Statistical Methods ◽

Design Methodology ◽

Content Type ◽

Multiple Measures ◽

Level Data ◽

Canadian Provinces ◽

The Relationship ◽

Significant Support

Purpose The purpose of this paper is to investigate the importance of multiple measures of the economy while investigating the role of the economy with crime, as well as the sensitivity of those results. Design/methodology/approach Provincial-level data, 1981-2009, and a series of statistical specifications. Findings The authors find overall support for the Cantor and Land’s (1985) model of unemployment and crime. The authors are also able to show the importance of considering multiple measures of economic activity and multiple statistical methods of analysis for the sensitivity of results. Originality/value Previous research has shown the importance of multiple measures of the economy but not multiple statistical methods as a sensitivity analysis. The authors provide such a sensitivity analysis and show that the Cantor and Land’s (1985) model has significant support.

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The Role of Statistical Methods and Tools for Weather Forecasting and Modeling

10.5772/intechopen.96854 ◽

2021 ◽

Author(s):

Emmanuel P. Agbo

Keyword(s):

Statistical Methods ◽

Correlation Matrix ◽

Weather Forecasting ◽

Trend Test ◽

P Value ◽

Wolfram Mathematica ◽

Regression Techniques ◽

Python Programming ◽

The Relationship

The need to understand the role of statistical methods for the forecasting of climatological parameters cannot be trivialized. This study gives an in depth review on the different variations of the Mann-Kendall (M-K) trend test and how they can be applied, regression techniques (Simple and Multiple), the Angstrom-Prescott model for solar radiation, etc. The study then goes ahead to apply some of them with data obtained from the Nigerian Meteorological Agency (NiMet), and applying tools like the python programming language and Wolfram Mathematica. Results show that the maximum ambient temperature for Calabar is increasing (Z = 2.52) significantly after the calculated p-value <0.05 (significant level). The seasonal M-K test was also applied for the dry and wet seasons and both were found to be increasing (Z = 3.23 and Z = 4.04 respectively) after their calculated p-values <0.05. The relationship between refractivity and other meteorological parameters relating to it was discerned using partial differential equations giving the gradient of each with refractivity; this was compared with results from the correlation matrix to show that the water vapor contents of the atmosphere contributes significantly to the variation of refractivity. Multiple linear regression has also been adopted to give an accurate model for the prediction of refractivity in the region after the residual error between the calculated refractivity and predicted refractivity was minimal.

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Explaining Prosocial Behavior from the Inter-and Within-Individual Perspectives: A Role of Positive Orientation and Positive Affect

Journal of Happiness Studies ◽

10.1007/s10902-021-00464-4 ◽

2021 ◽

Author(s):

Mariola Laguna ◽

Evelina De Longis ◽

Zofia Mazur-Socha ◽

Guido Alessandri

Keyword(s):

Positive Affect ◽

Prosocial Behavior ◽

Individual Variability ◽

General Tendency ◽

Positive Orientation ◽

Psychological Mechanisms ◽

Longitudinal Study Design ◽

Affective Experiences ◽

The Relationship

AbstractProsocial behavior is undertaken voluntarily to benefit others and includes a range of actions, such as helping, sharing, caring, and comforting. Our study concerned psychological mechanisms stimulating prosocial behavior explaining it from both the within-individual (daily fluctuations) and inter-individual (individual differences) perspectives. We tested a model in which positive orientation and positive affect directly predict within-individual variability in prosocial behavior and in which positive affect mediates the relationship between positive orientation and daily prosocial behavior. These two-level mediation mechanisms were investigated using an intensive longitudinal study design with seven daily measurements on a sample of 181 undergraduates and 1119 daily observations. The results confirm that, with personality traits, sex, and prosocial behavior during the previous day adjusted for, inter- and within-individual variability in positive orientation predict daily prosocial behavior. Inter-individual variability in positive affect is a significant predictor of prosocial behavior and a mediator between positive orientation and daily prosocial behavior. No such mediation mechanism was detected for within-individual variability in positive affect. These results suggest several recommendations on how to stimulate prosocial behavior. By stimulating the general tendency to cultivate positive affective experiences and to view life in a positive light, it may be possible to prepare people to notice and respond to the needs of others.

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The road to freedom: Quantitative developmental methodology in the third millennium

International Journal of Behavioral Development ◽

10.1080/016502500383458 ◽

2000 ◽

Vol 24 (1) ◽

pp. 35-43 ◽

Cited By ~ 8

Author(s):

Alexander von Eye ◽

Christof Schuster

Keyword(s):

Statistical Methods ◽

Psychological Research ◽

Quantitative Methodology ◽

Foreseeable Future ◽

The Road ◽

The Third ◽

Methods Of Analysis ◽

The Future ◽

The Relationship

In this article we ask three questions. First, what is the relationship between substantive psychological research and research in the area of applied quantitative, statistical methods? Second, what is the development that applied quantitative methodology will undergo in the foreseeable future? Third, will this development affect the future of psychological research? The answers to these questions are cast in terms of six trends and three anticipated problems. The trends are: (1) increase in the number of available statistical methods; (2) substantive thinking triggers the development of new statistical methods; (3) statistical methods become increasingly flexible; (4) computers do the thinking; (5) there will be new paradigms such as the person-oriented perspective; and (6) statistical methods will be custom-tailored to substantive questions. The general tenor of the discussion of these trends is that the number of possibilities will increase and the researcher will be freed from method-specific constraints. The three problem trends are: (1) the choice between methods of analysis becomes increasingly difficult; (2) cases of misuse of statistics will become more frequent; and (3) the role of the methodologist will change such that more substantive knowledge will be required. In addition, issues of training of methodologists and financing research are discussed. The general outlook is depicted as encouraging.

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Choosing a Markov blanket

Behavioral and Brain Sciences ◽

10.1017/s0140525x19002632 ◽

2020 ◽

Vol 43 ◽

Author(s):

Thomas Parr

Keyword(s):

Markov Blanket ◽

Target Article ◽

The Relationship

Abstract This commentary focuses upon the relationship between two themes in the target article: the ways in which a Markov blanket may be defined and the role of precision and salience in mediating the interactions between what is internal and external to a system. These each rest upon the different perspectives we might take while “choosing” a Markov blanket.

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Staring Down Death

Crisis ◽

10.1027/0227-5910/a000367 ◽

2016 ◽

Vol 37 (3) ◽

pp. 212-217 ◽

Cited By ~ 7

Author(s):

Thomas E. Joiner ◽

Melanie A. Hom ◽

Megan L. Rogers ◽

Carol Chu ◽

Ian H. Stanley ◽

...

Keyword(s):

Suicide Risk ◽

Clinical Utility ◽

Blink Rate ◽

Specific Task ◽

Careful Planning ◽

Eye Blink ◽

Eye Blinks ◽

Potential Clinical Utility ◽

The Relationship

Abstract. Background: Lowered eye blink rate may be a clinically useful indicator of acute, imminent, and severe suicide risk. Diminished eye blink rates are often seen among individuals engaged in heightened concentration on a specific task that requires careful planning and attention. Indeed, overcoming one’s biological instinct for survival through suicide necessitates premeditation and concentration; thus, a diminished eye blink rate may signal imminent suicidality. Aims: This article aims to spur research and clinical inquiry into the role of eye blinks as an indicator of acute suicide risk. Method: Literature relevant to the potential connection between eye blink rate and suicidality was reviewed and synthesized. Results: Anecdotal, cognitive, neurological, and conceptual support for the relationship between decreased blink rate and suicide risk is outlined. Conclusion: Given that eye blinks are a highly observable behavior, the potential clinical utility of using eye blink rate as a marker of suicide risk is immense. Research is warranted to explore the association between eye blink rate and acute suicide risk.

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